Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...
Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...
This technical note presents a methodological change to the International Monetary Fund’s Currency Composition of Foreign Exchange Reserves (COFER) dataset. Using a combination of stratified mean ...
In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...
Joshua Blumenstock is a Chancellor’s Associate Professor at the School of Information at UC Berkeley. Emily Aiken is a PhD ...
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